$ diff lfm2-5-24b-a2b mistral-large-4
LFM2.5-24B-A2B vs Mistral Large 4
Values come from LFM2.5-24B-A2B and Mistral Large 4, where each is cited to its source. This page states no benchmark result and ranks neither model — it puts two published specifications next to each other. Where a lab has not published a figure, the row says so rather than guessing.
Liquid AILFM2.5-24B-A2B
- context
- 131K
- weights
- —
- $/M in
- $0.1
- $/M out
- $1
- context
- 1M
- weights
- —
- $/M in
- $1.36
- $/M out
- $4.18
What actually differs
- Context window
- Mistral Large 4 takes 1M against 131K — 7.6× more room in a single request.
- Input price
- LFM2.5-24B-A2B at $0.1/M against $1.36/M — 13.6× cheaper to feed. Standard rates: one of these labs also quotes a lower cached-input tier, which applies only when a prefix is reused — see the full spec below.
- Output price
- LFM2.5-24B-A2B at $1/M against $4.18/M — 4.2× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
- Recency
- LFM2.5-24B-A2B shipped 7 days after Mistral Large 4 (2026-10-13 vs 2026-10-06).
Full spec
| Attribute | LFM2.5-24B-A2B | Mistral Large 4 |
|---|---|---|
| Developer | Liquid AI | Mistral AI |
| Released | 2026-10-13 | 2026-10-06 |
| Context window | 131,072 tokens | 1M |
| Pricing | $0.10/M input · $0.05/M cached input · $1.00/M output | $1.36/M input · $4.18/M output (announcement) |
| License | not recorded | not recorded |
| Availability | Downloadable base and post-trained weights; Liquid Playground and API | Mistral Studio API preview; weights promised by end of October 2026 |